Computer Vision & Linux Systems Engineer

Role Overview

OpenCode Solutions is looking for a hands-on

Computer Vision & Linux Systems Engineer

who can develop AI/computer vision solutions and manage the Linux infrastructure required to deploy and operate them.

The engineer should be capable of taking a computer vision use case from initial feasibility assessment through POC development, model training, testing, optimization, and deployment.

Key RequirementsComputer Vision & AI

• Strong Python experience.

• Practical experience with

  PyTorch, YOLO, OpenCV, and FFmpeg

  .

• Experience with object detection, classification, tracking, segmentation, or pose estimation.

• Ability to build and test computer vision POCs using CCTV or recorded video.

• Experience preparing, cleaning, merging, and reviewing datasets.

• Familiarity with

  CVAT, FiftyOne, COCO, and YOLO annotation formats

  .

• Ability to train, evaluate, fine-tune, and troubleshoot custom computer vision models.

• Experience converting and optimizing models using

  ONNX, FP16, and INT8

  .

• Experience deploying AI models on GPUs, edge devices, or NPUs is highly preferred.

Web Scraping & Data Collection

• Experience building Python-based web scraping and data collection tools.

• Familiarity with tools such as

  BeautifulSoup, Selenium, Playwright, or Scrapy

  .

• Ability to collect and organize images, videos, metadata, and other public data for dataset development.

• Experience handling pagination, dynamic websites, APIs, file downloads, and automated data-processing pipelines.

• Ability to clean, deduplicate, and validate collected data.

Linux Administration

Strong practical Linux administration experience, including:

• Linux installation, configuration, and troubleshooting.

• SSH and remote system management.

• Networking fundamentals including IP addressing, routing, DNS, ports, and connectivity troubleshooting.

• Storage, filesystems, permissions, users, and services.

• Package and dependency management.

• Docker and container management.

• GPU drivers, CUDA, and AI runtime troubleshooting.

• System performance and resource monitoring.

• Troubleshooting applications and services running on Linux servers or edge devices.

Deployment & Infrastructure

• Experience working with CCTV cameras, RTSP streams, NVRs, or similar video systems.

• Ability to deploy and troubleshoot AI applications on Linux edge devices.

• Experience with Git and version control.

• Basic understanding of APIs and application integration.

• Familiarity with

  Docker, Kubernetes, OpenShift, MinIO, ClearML, or similar platforms

  is advantageous.

Candidate Profile

The ideal candidate should:

• Be highly hands-on and capable of working independently.

• Be comfortable troubleshooting across

  AI models, Python, Linux, networking, and hardware

  .

• Be able to turn loosely defined customer requirements into practical technical solutions.

• Be capable of independently sourcing and preparing data when an existing dataset is unavailable.

• Be comfortable researching and experimenting with unfamiliar technologies.

• Communicate technical limitations, requirements, and expected performance clearly.

Experience

• 2–5+ years

  of relevant experience in Computer Vision, AI Engineering, Linux Systems Administration, or related technical roles.

• Bachelor's degree in Computer Science, Computer Engineering, AI, Software Engineering, or a related field is preferred.

• Strong practical experience and project portfolio may substitute for formal experience requirements.